ABSTRACT

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Proteomics is often compared to genomics, and proteomes to genomes. There is, however, a fundamental difference between these two. While genomics deals with a (nearly) fixed set of genes in an organism, proteomics deals with a very large number of related proteins with posttranslational modifications. Furthermore, the proteins undergo major changes in level of expression during physiological, pathological, and pharmacological stresses. Gathering and analyzing a vast amount of data about complex mixtures of proteins require large-scale, high-throughput approaches. Thus, proteomics depends upon collaborations across laboratories and centers producing, collecting, and integrating data, and making datasets available to the scientific community.